一个基于整数-可逆Krawtchouk转换的新型3D可逆数据隐藏方案,用于IoMT
Mohamed Yamni1, Achraf Daoui2, Paweł Pławiak3,4
1Dhar El Mahrez Faculty of Science, Sidi Mohamed Ben Abdellah-Fez University, Fez 30000, Morocco.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
我们开发了一个整数和可逆的Krawtchouk变换 (IRKT) 进行无损图像处理. 这使得新的3D可逆数据隐藏 (RDH) 算法能够在医疗物联网 (IoMT) 中安全存储和传输医疗数据.
科学领域:
- 数字图像处理 数字图像处理
- 数据安全与隐私数据安全与隐私
- 医疗成像医学成像
背景情况:
- 浮点Krawtchouk转换在图像处理中由于有限的显著数字而遭受圆形错误.
- 现有的二维可逆数据隐藏 (RDH) 算法对大规模的医学图像数据有局限性.
- 医疗物联网 (IoMT) 需要安全的方法来存储和传输大量的医疗数据.
研究的目的:
- 引入一个整数和可逆的Krawtchouk变换 (IRKT),以克服图像处理中的圆化错误.
- 提出基于IRKT的新型3DRDH算法,用于安全地将医疗数据嵌入IoMT.
- 提高医疗数据存储和传输在IoMT部门的安全性和效率.
主要方法:
- 开发了一个整数和可逆的Krawtchouk变换 (IRKT),生成整数系数.
- 设计了一个3D RDH算法,利用IRKT将数据嵌入到3D医学图像中.
- 进行了广泛的实验评估,以评估嵌入能力,不可察觉性和安全性.
主要成果:
- 拟议的IRKT产生整数系数,适用于无损图像应用.
- 基于IRKT的3D RDH算法在不增加原始图像大小的情况下实现了高嵌入容量.
- 该算法展示了对统计攻击的不知觉性和弹性,优于传统的2D RDH方法.
结论:
- 在Krawtchouk变换应用程序中,IRKT有效地解决了圆形错误.
- 新的3D RDH算法为IoMT中的医疗数据提供了安全有效的解决方案.
- 这种方法提高了大规模医疗数据存储和传输的数据安全性和完整性.
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